Literature DB >> 24802594

Monocular and binocular edges enhance the perception of stereoscopic slant.

Susan G Wardle1, Stephen Palmisano2, Barbara J Gillam3.   

Abstract

Gradients of absolute binocular disparity across a slanted surface are often considered the basis for stereoscopic slant perception. However, perceived stereo slant around a vertical axis is usually slow and significantly under-estimated for isolated surfaces. Perceived slant is enhanced when surrounding surfaces provide a relative disparity gradient or depth step at the edges of the slanted surface, and also in the presence of monocular occlusion regions (sidebands). Here we investigate how different kinds of depth information at surface edges enhance stereo slant about a vertical axis. In Experiment 1, perceived slant decreased with increasing surface width, suggesting that the relative disparity between the left and right edges was used to judge slant. Adding monocular sidebands increased perceived slant for all surface widths. In Experiment 2, observers matched the slant of surfaces that were isolated or had a context of either monocular or binocular sidebands in the frontal plane. Both types of sidebands significantly increased perceived slant, but the effect was greater with binocular sidebands. These results were replicated in a second paradigm in which observers matched the depth of two probe dots positioned in front of slanted surfaces (Experiment 3). A large bias occurred for the surface without sidebands, yet this bias was reduced when monocular sidebands were present, and was nearly eliminated with binocular sidebands. Our results provide evidence for the importance of edges in stereo slant perception, and show that depth from monocular occlusion geometry and binocular disparity may interact to resolve complex 3D scenes.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  3D surface perception; Binocular disparity; Binocular vision; Depth matching; Monocular regions; Stereoscopic slant

Mesh:

Year:  2014        PMID: 24802594     DOI: 10.1016/j.visres.2014.04.012

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  1 in total

1.  Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model.

Authors:  Ross Goutcher; Christian Barrington; Paul B Hibbard; Bruce Graham
Journal:  J Vis       Date:  2021-07-06       Impact factor: 2.240

  1 in total

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